Anti-clogging Sewerage System Using IOT

Abstract: This project aims to create a low-cost, self-contained sewerage system using IoT and without the need for human intervention. Real-time data forecasting the extent of sludge and water is critical for proper sewer system operation. Higher runoff volume, combined with large areas of impervious ground, has overburdened the drainage system, resulting in inundation and blockage. All of this could be avoided if a smart system is implemented that detects both the water level and redirects water using sensor-controlled gates. A smart system could be created by leveraging existing Artificial Intelligence, IOT principles, and adequate sensor data analysis to provide real-time information monitoring and reporting to the municipality or concerning authority. Will eliminate the need for manual drain inspections and allow for immediate response without the need for human intervention or delay.

Keywords: Sewerage system, Linear regression, MQ135, Rain drop sensor, IoT, CSO, Chocked Flow